TinyML Project Ideas for Arduino

1. Gesture Recognition:

• Train a simple gesture recognition model using a platform like Edge Impulse or TensorFlow Lite for Microcontrollers.
• Deploy the model on an Arduino board with sensors such as accelerometers or gyroscopes.
• Recognize and respond to specific gestures.

2. Voice Recognition:

• Train a small voice recognition model to recognize simple commands.
• Deploy the model on an Arduino board with a microphone.
• Control LEDs, servos, or other peripherals based on recognized voice commands.

3. Anomaly Detection with Sensor Data:

• Collect sensor data (e.g., temperature, humidity) and train a model to detect anomalies.
• Deploy the model on an Arduino to monitor and raise alerts for abnormal sensor readings.

4. Person Detection with Camera:

• Use a camera module with an Arduino board.
• Train a model to detect the presence of a person in the camera feed.
• Activate an alarm or notify when a person is detected.

5. Sound Classification:

• Train a model to classify different sounds (e.g., clapping, snapping fingers).
• Deploy the model on an Arduino with a microphone and trigger actions based on detected sounds.

6. Health Monitoring:

• Use sensors to collect health-related data (heart rate, body temperature).
• Train a model to classify normal and abnormal health conditions.
• Display alerts or notifications based on the model's predictions.

7. Customized Data Logger:

• Collect data from various sensors (e.g., temperature, humidity, light).
• Train a model to predict future sensor readings.
• Implement a data logger on Arduino that predicts and logs future values.

8. Color Recognition with RGB Sensor:

• Use an RGB sensor to detect colors.
• Train a model to classify different colors.
• Display the recognized color on an RGB LED.

9. Proximity Detection:

• Use proximity sensors or infrared sensors.
• Train a model to detect the presence or absence of an object in proximity.
• Implement a system that responds based on the detected proximity.

10. Gesture-controlled Robot:

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11. Use an RGB sensor to detect colors.

• Train a model to classify different colors.
• Display the recognized color on an RGB LED.

12. Heart Rate Monitor:

• Connect a heart rate sensor to Arduino.
• Train a model to classify normal and abnormal heart rate patterns.
• Provide visual or audio alerts based on the classification.

13. Temperature and Humidity Logger:

• Utilize a temperature and humidity sensor.
• Train a model to predict future temperature and humidity values.
• Implement a data logger that predicts and logs future sensor readings.

14. Light Intensity Classifier:

• Use a light sensor to measure ambient light intensity.
• Train a model to classify different light levels (bright, dim, dark).
• Trigger actions based on the detected light intensity.

15. Fall Detection System:

• Integrate an accelerometer to detect falls.
• Train a model to recognize fall patterns.
• Activate an alert or notification in case of a detected fall.

16. Gas and Air Quality Monitor:

• Connect gas and air quality sensors to Arduino.
• Train a model to classify air quality levels.
• Display air quality information using LEDs or an OLED display.

17. Object Detection with Ultrasonic Sensor:

• Use an ultrasonic sensor for distance measurement.
• Train a model to detect the presence of objects at different distances.
• Implement an alert system based on detected object proximity.

18. Voice-controlled Home Automation:

• Train a voice recognition model to recognize specific commands.
• Connect Arduino to home automation devices (lights, fans).
• Control devices using voice commands.

19. Pulse Oximeter:

• Combine a pulse sensor with an oxygen saturation (SpO2) sensor.
• Train a model to monitor and classify pulse and oxygen levels.
• Display health status on an OLED display.

20. Soil Moisture Monitor for Plants:

• Use a soil moisture sensor to measure moisture levels in the soil.
• Train a model to classify different soil moisture conditions.
• Trigger irrigation or alert based on soil moisture status.

21. Wi-Fi Signal Strength Analyzer:

• Utilize a Wi-Fi module (ESP8266 or ESP32) to measure signal strength.
• Train a model to classify signal strength levels.
• Display Wi-Fi signal information on an OLED display.

22. Drowsiness Detection for Drivers:

• Use a camera module to monitor the driver's face.
• Train a model to detect signs of drowsiness.
• Activate an alert or notification for the driver.

23. Smart Doorbell with Facial Recognition:

• Integrate a camera for capturing images.
• Train a model for facial recognition.
• Implement a smart doorbell that identifies familiar faces.

24. Water Quality Monitor:

• Connect sensors for monitoring pH, turbidity, or conductivity.
• Train a model to classify water quality levels.
• Display water quality information using LEDs or an LCD display.

25. Activity Recognition with Accelerometer:

• Use an accelerometer to capture motion data.
• Train a model to recognize different activities (walking, running, sitting).
• Display the recognized activity on an OLED display.

26. Smart Trash Bin:

• Install an ultrasonic sensor to detect the trash level.
• Train a model to classify the level of trash (empty, half-full, full).
• Activate an alert when the trash is full.

27. Smoke and Gas Detector:

• Connect smoke and gas sensors to Arduino.
• Train a model to classify different levels of smoke or gas concentration.
• Implement an alarm system based on detected levels.

28. Parking Space Availability Monitor:

• Use ultrasonic sensors to detect car presence in parking spaces.
• Train a model to classify parking space availability.
• Display real-time parking status on an LCD display.

29. Solar Tracker:

• Implement a solar tracker using light sensors.
• Train a model to adjust the solar panel angle for optimal sunlight exposure.
• Maximize energy harvesting efficiency.

30. Wi-Fi Controlled Robot:

• Integrate an Arduino with a Wi-Fi module.
• Train a model to interpret commands sent over Wi-Fi.
• Control the movement of a robot using a mobile app.

31. Temperature-controlled Fan:

• Connect a temperature sensor and a fan to Arduino.
• Train a model to regulate the fan speed based on temperature.
• Ensure optimal cooling in different temperature conditions.

32. Smart Plant Watering System:

• Use soil moisture sensors to monitor plant hydration.
• Train a model to predict when the plant needs watering.
• Automate the watering system based on the model's predictions.

33. Object Sorting Machine:

• Build a conveyor belt system with color sensors.
• Train a model to recognize and sort objects based on color.
• Implement an automated object sorting machine.

34. Gas Leak Detection System:

• Connect gas sensors to Arduino.
• Train a model to detect and classify different gas leaks.
• Activate alarms or notifications in case of detected gas leaks.

35. Automated Pet Feeder:

• Use a load cell to measure the amount of pet food.
• Train a model to classify the food level in the feeder.
• Automate pet food dispensing based on the model's predictions.

36. Gesture-controlled Music Player:

• Train a model to recognize hand gestures for music control.
• Connect Arduino to a speaker or music player.
• Control play, pause, and volume using gestures.

37. Human Presence Detection in a Room:

• Use passive infrared (PIR) motion sensors.
• Train a model to detect human presence in a room.
• Trigger lights or other devices based on detected presence.

38. Arduino-based Weather Station:

• Integrate sensors for temperature, humidity, and atmospheric pressure.
• Train a model to predict and display weather conditions.
• Display real-time weather information on an LCD display.

39. Coffee Cup Detector:

• Attach an accelerometer to a coffee cup.
• Train a model to detect when the cup is picked up or put down.
• Implement a system that logs coffee consumption patterns.

40. Speed Limit Sign Recognition:

• Use a camera module to capture images of speed limit signs.
• Train a model to recognize and read speed limit signs.
• Display the recognized speed limit on an OLED display.

41. Bluetooth-controlled LED Matrix:

• Integrate a Bluetooth module with an LED matrix.
• Train a model to interpret Bluetooth commands for displaying patterns.
• Control the LED matrix using a mobile app.

42. Water Level Monitor for Tanks:

• Use ultrasonic sensors to measure water levels in tanks.
• Train a model to classify different water level conditions.
• Implement an alert system for low or high water levels.

43. Proximity-based Security System:

• Use RFID or NFC modules for proximity detection.
• Train a model to recognize authorized RFID/NFC cards or devices.
• Implement a security system that activates based on detected proximity.

44. Fire Detection System:

• Connect fire and smoke sensors to Arduino.
• Train a model to detect and classify different levels of fire or smoke.
• Activate alarms or notifications in case of detected fire hazards.

45. Automated Plant Growth System:

• Integrate sensors for soil moisture, light, and temperature.
• Train a model to optimize environmental conditions for plant growth.
• Control lights, fans, and other parameters based on the model's recommendations.

46. Distance-based Smart Mirror:

• Use ultrasonic sensors to measure the distance to the user.
• Train a model to customize the information displayed on a smart mirror based on user proximity.
• Show weather, calendar events, or other relevant information.

47. Air Drum Kit:

• Utilize accelerometers to capture drumming gestures.
• Train a model to recognize different drumming patterns.
• Trigger corresponding drum sounds or MIDI signals based on gestures.

48. Automated Cat Feeder:

• Use a load cell to measure cat food levels.
• Train a model to classify when the cat needs to be fed.
• Automate cat food dispensing based on the model's predictions.

49. Smart Irrigation System:

• Connect soil moisture sensors to Arduino.
• Train a model to predict optimal watering times for plants.
• Automate the irrigation system based on the model's predictions.

50. Light-following Robot:

• Use light sensors or a camera to detect light sources.
• Train a model to guide a robot to follow light sources.
• Implement a robot that autonomously follows light.

51. Automated Blinds Controller:

• Utilize light sensors to measure ambient light levels.
• Train a model to adjust blinds based on changing light conditions.
• Implement an automated blinds control system.

52. Motion-controlled Car Alarm:

• Integrate accelerometers or PIR sensors with Arduino.
• Train a model to recognize unauthorized movements around a parked car.
• Activate an alarm system based on detected motion.

53. Solar-powered Weather Station:

• Combine sensors for temperature, humidity, and solar radiation.
• Train a model to predict solar energy production based on weather conditions.
• Display real-time weather and energy information.

54. Automated Chess Board:

• Use reed switches or Hall effect sensors for piece detection.
• Train a model to recognize chess moves and positions.
• Implement an automated chess board that can play against a human player.

55. Dust and Particle Detector:

• Connect dust and particle sensors to Arduino.
• Train a model to classify air quality based on particle levels.
• Display air quality information on an OLED display.

56. Temperature-controlled Tea Maker:

• Attach a temperature sensor to a water kettle.
• Train a model to achieve different tea temperature preferences.
• Automate the heating process based on selected preferences.

57. Smart Bike Light:

• Use accelerometers or motion sensors on a bike.
• Train a model to recognize bike movements and turns.
• Implement a smart bike light that responds to different riding conditions.

58. Water Ripple Effect with LEDs:

• Utilize water level sensors or touch sensors.
• Train a model to create LED ripple effects based on sensor inputs.
• Implement an interactive LED display.

59. Proximity-based Music Player:

• Use RFID or NFC modules for proximity detection.
• Train a model to associate specific music playlists with RFID/NFC cards or devices.
• Play designated playlists based on detected proximity.

60. Coin Sorter:

• Build a coin sorting machine with color sensors.
• Train a model to recognize and sort different coins.
• Implement an automated coin sorting system.

61. Plant Disease Detection:

• Capture images of plant leaves using a camera module.
• Train a model to detect and classify plant diseases.
• Provide alerts or recommendations based on disease detection.

62. Water Flow Rate Monitor:

• Use flow rate sensors in a water pipe.
• Train a model to monitor and classify different water flow rates.
• Display real-time water flow information.

63. Gas Meter Reader:

• Connect a gas meter to Arduino.
• Train a model to read and monitor gas meter readings.
• Implement a system for automated gas meter reading.

64. Gesture-controlled Thermostat:

• Train a model to recognize hand gestures for temperature control.
• Connect Arduino to a thermostat or heating system.
• Adjust temperature settings based on detected gestures.

65. Plant Emotion Sensor:

• Use soil moisture sensors and temperature sensors for plants.
• Train a model to classify different "emotional" states of plants.
• Display plant emotions using LEDs or an LCD.

66. Automated Plant Trainer:

• Combine cameras with image recognition.
• Train a model to recognize plant growth patterns.
• Provide automated feedback or adjust light conditions for optimal growth.

67. Fitness Tracker with OLED Display:

• Use accelerometers or motion sensors for activity tracking.
• Train a model to recognize different exercises or activities.
• Display fitness-related information on an OLED display.

68. Automated Aquarium Controller:

• Integrate sensors for water temperature, pH, and light.
• Train a model to optimize aquarium conditions for fish health.
• Control heaters, filters, and lights based on the model's recommendations.

69. Maze-solving Robot:

• Use IR sensors or cameras for maze detection.
• Train a model to guide a robot through a maze.
• Implement a robot that autonomously navigates and solves mazes.

70. Automated Sudoku Solver:

• Use a camera to capture images of Sudoku puzzles.
• Train a model to recognize and solve Sudoku puzzles.
• Display the solved puzzle on an LCD screen.

71. Intruder Detection System:

• Utilize PIR sensors or cameras to detect intruders.
• Train a model to recognize human presence and distinguish it from other objects.
• Activate an alarm or notification in case of detected intrusion.

72. Real-time Language Translator:

• Use a microphone to capture spoken language.
• Train a model for speech-to-text and language translation.
• Display translated text on an OLED display or communicate through speakers.

73. Solar-powered Pest Repeller:

• Integrate a motion sensor or cameras for pest detection.
• Train a model to recognize pests.
• Activate a pest repeller based on detected pests.

74. Smart Glasses for the Visually Impaired:

• Use cameras or depth sensors for obstacle detection.
• Train a model to recognize obstacles and provide audio or haptic feedback.
• Assist visually impaired individuals in navigating their surroundings.

75. Garage Door Opener with Facial Recognition:

• Install a camera to capture images of individuals approaching the garage.
• Train a model for facial recognition to open the garage door for authorized persons.
• Implement a secure and automated garage door opener.

76. Water Turbidity Monitoring System:

• Connect turbidity sensors to measure water clarity.
• Integrate gesture recognition with a robotic platform.
• Train the model to recognize gestures for controlling the robot's movement.
• Build a gesture-controlled robot using Arduino and motor controllers.

77. gesture recognition system:

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78. Smart-Alarm-using-tinyML:

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79. Pulse Rate Monitor:

• Use a pulse sensor to measure heart rate.
• Train a model to classify normal and abnormal heart rates.
• Display the result on an OLED screen.

80. Gas Quality Monitoring:

• Utilize a gas sensor to measure air quality.
• Train a model to detect different gas levels.
• Trigger alerts or notifications based on air quality.

81. Mailbox Intrusion Detector:

• Install a small accelerometer in a mailbox.
• Train a model to detect when the mailbox is opened.
• Send notifications when the mailbox is accessed.

82. Temperature-Controlled Fan:

• Connect a temperature sensor to an Arduino.
• Train a model to predict temperature trends.
• Control a fan based on the predicted temperature.

83. Sunlight Tracker for Plants:

• Use a light sensor to measure sunlight intensity.
• Train a model to predict optimal sunlight conditions for plants.
• Provide notifications or alerts for suboptimal light conditions.

84. Incorporate a water quality sensor.

• Train a model to classify different water quality levels.
• Display the water quality status on an LCD screen.

85. Kitchen Safety Assistant:

• Combine gas and smoke sensors in the kitchen.
• Train a model to detect potential hazards.
• Trigger alarms or notifications in case of danger.

86. Customized Smart Thermostat:

• Connect temperature and humidity sensors to Arduino.
• Train a model to predict and regulate optimal room conditions.
• Adjust a connected thermostat based on the model's predictions.

87. Pet Activity Tracker:

• Attach an accelerometer or motion sensor to a pet's collar.
• Train a model to recognize different pet activities.
• Log and display the pet's activity patterns.

88. Parking Space Occupancy Detector:

• Use ultrasonic sensors to detect vehicle presence in a parking space.
• Train a model to determine parking space occupancy.
• Display available parking spaces on an LED matrix.

89. Customized Sleep Tracker:

• Utilize sensors like accelerometers to monitor sleep patterns.
• Train a model to analyze sleep quality.
• Display sleep-related data on an OLED display.

90. Color-based Sorting Machine:

• Use a color sensor to detect different colors of objects.
• Train a model to sort objects based on color.
• Implement a sorting mechanism using servos.

91. Water Level Monitor:

• Utilize a water level sensor in a tank or container.
• Train a model to predict and monitor water levels.
• Display water levels on an LCD or LED display.

92. Smart Doorbell:

• Combine a camera module with Arduino.
• Train a model to recognize faces or detect motion.
• Trigger notifications or alarms when someone is at the door.

93. Air Guitar Controller:

• Use accelerometers to detect hand movements.
• Train a model to recognize guitar-playing gestures.
• Play virtual guitar sounds based on detected gestures.

94. Obstacle-Avoidance Robot:

• Attach ultrasonic sensors to a robotic platform.
• Train a model to navigate and avoid obstacles.
• Implement a robotic system that moves without collisions.

95. Integrate an ultrasonic sensor to detect the proximity of an object.

• Train a model to recognize whether an item is trash.
• Open the trash bin lid automatically for disposal.

96. Temperature-Regulated Plant Watering:

• Connect a soil moisture sensor and a temperature sensor.
• Train a model to predict optimal watering times based on temperature and soil moisture.
• Automate plant watering based on the model's predictions.

97. Tilt-Controlled Game:

• Utilize an accelerometer to detect device tilt.
• Train a model to recognize tilt patterns.
• Implement a simple game controlled by tilting the device.

98. Automatic Blinds Controller:

• Connect a light sensor to monitor ambient light.
• Train a model to predict optimal blind positions based on light intensity.
• Control motorized blinds accordingly.

99. Customized Fitness Tracker:

• Use accelerometers to monitor physical activity.
• Train a model to recognize different exercises or activities.
• Display exercise summaries on an OLED screen.

100. Rainfall Prediction System:

• Use a raindrop sensor to measure rainfall.
• Train a model to predict and display future rainfall patterns.
• Alert users about potential rain events.

101. Real-Time Language Translator:

• Combine a microphone with language translation capabilities.
• Train a model to recognize and translate spoken words.
• Output translated text on an LCD or LED display.

102. Motion-Activated Camera:

• Use a PIR motion sensor with a camera module.
• Train a model to capture images when motion is detected.
• Store images or send notifications based on detected motion.

103. Customized Weather Station:

• Connect sensors for temperature, humidity, and atmospheric pressure.
• Train a model to predict weather conditions.
• Display weather updates on an LCD screen.

104. Plant Disease Detector:

• Use a camera module to capture images of plant leaves.
• Train a model to identify common plant diseases.
• Alert users if plant diseases are detected.
• Noise Pollution Monitor:

105. Use a sound sensor to measure ambient noise levels.

• Train a model to classify noise pollution levels.
• Display or log noise levels on an OLED or LED display.

106. Smart Mirror:

• Combine a camera and a display behind a two-way mirror.
• Train a model to recognize faces or gestures.
• Display personalized information on the mirror.

107. Object Counter:

• Utilize a beam-break sensor or a camera.
• Train a model to count objects passing through the beam.
• Display the count on an LCD screen.

108. Gesture-Controlled Light Switch:

• Use gesture recognition to control lighting.
• Train a model to recognize specific gestures for on/off.
• Control a light source based on detected gestures.

109. Customized Mood Lamp:

• Connect a color sensor to detect ambient light colors.
• Train a model to change the lamp color based on ambient colors.
• Create a mood-changing lamp using RGB LEDs.

110. Smart Pet Feeder:

• Use weight sensors to monitor food levels.
• Train a model to predict when to refill the pet feeder.
• Send notifications for low food levels.

111. Elevator Floor Recognition:

• Use an accelerometer to detect vertical movement.
• Train a model to recognize different floor levels.
• Display the current floor on an OLED screen.

112. Barcode Scanner:

• Connect a barcode scanner to Arduino.
• Train a model to recognize scanned barcodes.
• Display product information on an LCD screen.

113. Customized Mood Music Player:

• Use a heart rate sensor to measure user's mood.
• Train a model to select music based on the user's mood.
• Play music on a connected speaker.

114. Fruit Ripeness Checker:

• Use a color sensor to measure fruit color.
• Train a model to predict fruit ripeness.
• Display ripeness status on an OLED screen.

115. Magnetic Field Detector:

• Utilize a magnetometer to measure magnetic fields.
• Train a model to classify different magnetic field levels.
• Display or log magnetic field data.

116. Customized Aquarium Monitor:

• Connect sensors for water temperature and pH.
• Train a model to predict optimal aquarium conditions.
• Display aquarium status on an LCD screen.

117. Gas Leak Detector:

• Use a gas sensor to detect gas leaks.
• Train a model to identify different gas types.
• Trigger alarms or notifications for gas leaks.

118. Smart Umbrella:

• Connect a raindrop sensor to detect rainfall.
• Train a model to predict future rainfall.
• Alert users to bring an umbrella when rain is predicted.

119. Automated Pet Door:

• Use a camera or infrared sensor to recognize pets.
• Train a model to allow or deny access to the pet door.
• Control the door mechanism based on pet recognition.

120. Customized Sudoku Solver:

• Use a camera to capture images of Sudoku puzzles.
• Train a model to recognize and solve Sudoku puzzles.
• Display solved puzzles on an LCD screen.

121. Smart Refrigerator Inventory:

• Connect weight sensors to refrigerator shelves.
• Train a model to monitor food levels and expiration dates.
• Display inventory status on an LCD screen.

122. Intruder Alert System:

• Use PIR motion sensors and a camera.
• Train a model to recognize intruders.
• Send notifications or trigger alarms when intruders are detected.

123. Use a camera to capture images of Sudoku puzzles.

• Train a model to recognize and solve Sudoku puzzles.
• Display solved puzzles on an LCD screen.

124. Customized Word Clock:

• Combine an RTC (Real-Time Clock) module with an LED matrix.
• Train a model to recognize spoken words or commands.
• Display the time or messages using words on the LED matrix.

125. Heartbeat Drum Machine:

• Connect a heart rate sensor to Arduino.
• Train a model to interpret heart rate patterns.
• Play drum beats or rhythms based on the user's heartbeat.

126. Customized Plant Piano:

• Use soil moisture sensors for different plants.
• Train a model to associate moisture levels with musical notes.
• Play music based on the moisture levels of the plants.

127. Weather-responsive Clothing:

• Connect a weather sensor to Arduino.
• Train a model to classify weather conditions.
• Change the color of LED strips on clothing based on the weather.

128. Customized Pomodoro Timer:

• Use a button and an OLED display.
• Train a model to recognize when a work session starts or ends.
• Implement a Pomodoro timer that adapts to your work patterns.

129. Temperature Anomaly Detection:

• Train a model to detect anomalies in temperature data.
• Deploy the model on Arduino to monitor and identify unusual temperature patterns.

130. Smart Plant Monitoring:

• Use soil moisture and light sensors to collect data from plants.
• Train a model to predict optimal watering times based on sensor readings.
• Implement an automated watering system with Arduino.

131. Sleep Quality Monitor:

• Utilize accelerometers or gyroscopes to measure sleep movements.
• Train a model to analyze sleep quality based on movement patterns.
• Display sleep quality metrics on an LCD screen connected to Arduino.

132. Garbage Classification:

• Train a model to classify different types of waste (e.g., plastic, paper) using a camera module.
• Attach the camera to Arduino for real-time garbage classification.

133. Train a facial recognition model to identify known faces.

• Connect a camera to Arduino and implement a doorbell system that recognizes familiar faces.

134. Use a pulse sensor and oxygen sensor to measure heart rate and blood oxygen levels.

• Train a model to interpret the sensor data for health monitoring.

135. Inventory Management System:

• Attach RFID tags to items in your inventory.
• Train a model to recognize RFID tag patterns.
• Implement an inventory management system with Arduino.

136. Music Genre Classifier:

• Train a model to classify music genres based on audio input from a microphone.
• Display the recognized genre on an OLED display connected to Arduino.

137. Air Quality Monitor:

• Use air quality sensors to measure pollutant levels.
• Train a model to classify air quality conditions.
• Implement a system to display air quality status using LEDs.

138. Gesture-controlled Light Switch:

• Train a model to recognize specific hand gestures for turning lights on/off.
• Connect Arduino to a relay module to control lighting based on gestures.

139. Automatic Pet Feeder:

• Use weight sensors to monitor pet food levels.
• Train a model to predict when to refill the pet feeder.
• Implement an automatic pet feeder with Arduino.

140. Handwriting Recognition:

• Train a model to recognize handwritten characters using a touchpad.
• Display the recognized characters on an LCD screen.

141. Energy Harvesting Monitor:

• Use energy harvesting modules to measure harvested energy.
• Train a model to predict energy harvesting efficiency.
• Display the efficiency on an OLED screen.

142. Train a model to recognize voice commands for controlling home appliances.

• Connect Arduino to relays to control devices based on voice commands.

143. Proximity-based Reminder System:

• Use Bluetooth or RFID to detect when a specific device or tag is nearby.
• Train a model to trigger reminders or notifications based on proximity.

144. Train a model to recognize speed limit signs using a camera.

• Display recognized speed limits on an LCD screen.

145. Use sensors to measure water quality parameters.

• Train a model to classify water quality conditions.
• Implement a system to monitor and display water quality status.

146. Smoke Detector with Image Recognition:

• Train a model to recognize smoke patterns using a smoke sensor and camera.
• Implement a smoke detection system with Arduino.

147. Mood Detector with Emotion Recognition:

• Use facial expressions captured by a camera to detect the user's mood.
• Train a model to classify emotions and display the detected mood.

148. Automatic Blinds Control:

• Use light sensors to measure ambient light levels.
• Train a model to automatically adjust blinds based on light conditions.

149. Parking Space Occupancy Monitor:

• Use ultrasonic sensors to detect the presence of vehicles in parking spaces.
• Train a model to classify parking space occupancy.
• Implement a parking space monitoring system with Arduino.

150. UV Index Monitor:

• Use UV sensors to measure UV radiation levels.
• Train a model to classify UV index levels.
• Display the UV index on an OLED screen.

151. Face Mask Detector:

• Train a model to recognize whether a person is wearing a face mask using a camera.
• Implement a face mask detection system with Arduino.

152. Use PIR motion sensors to detect intruders.

• Train a model to classify human and non-human movement patterns.
• Implement an intruder detection system with Arduino.

153. Water Level Monitoring System:

• Utilize water level sensors to measure the water level in a tank.
• Train a model to predict and display water levels on an LCD screen.

154. Gas Leakage Detector:

• Use gas sensors to detect the presence of harmful gases.
• Train a model to classify gas levels and trigger alarms if gas leakage is detected.

155. Weather Station:

• Connect various weather sensors (temperature, humidity, pressure) to Arduino.
• Train a model to predict weather conditions based on sensor readings.

156. Sudoku Solver:

• Train a model to recognize and solve Sudoku puzzles using a camera.
• Display the solved Sudoku on an LCD screen.

157. Automatic Plant Watering System:

• Use soil moisture sensors to monitor plant hydration levels.
• Train a model to predict when to water plants.
• Implement an automatic plant watering system with Arduino.

158. Door Security System with Keypad:

• Implement a door security system using a keypad for password entry.
• Train a model to recognize valid keypad entries and trigger door opening.

159. Kitchen Timer with Voice Recognition:

• Use a microphone to capture voice commands for setting timers.
• Train a model to interpret voice commands for timer settings.

160. Speedometer for Bicycles:

• Attach a magnet and a reed switch to measure wheel rotations.
• Train a model to calculate and display bicycle speed on an LCD screen.

161. Lost Item Locator:

• Use Bluetooth or RFID tags to track the location of personal items.
• Train a model to assist in locating lost items based on signal strength.

162. Fingerprint Door Lock:

• Utilize a fingerprint sensor for door access control.
• Train a model to recognize authorized fingerprints for door unlocking.

163. Room Occupancy Monitor:

• Use infrared sensors to detect room occupancy.
• Train a model to classify occupancy status and display it on an OLED screen.

164. Chess Piece Recognition:

• Train a model to recognize chess pieces on a board using a camera.
• Display the identified chess pieces on an LCD screen.

165. Sunlight Tracking Solar Panel:

• Use light sensors to track sunlight direction.
• Train a model to adjust the position of a solar panel for optimal sunlight exposure.

166. Gait Analysis for Health Monitoring:

• Utilize accelerometers to capture gait patterns.
• Train a model to analyze gait for health monitoring purposes.

167. Smart Trash Can:

• Use ultrasonic sensors to detect the distance of an approaching hand.
• Train a model to open the trash can lid automatically when a hand is detected.

168. Arduino-based ECG Monitor:

• Interface with an ECG sensor to measure and monitor heart activity.
• Train a model to detect anomalies in the ECG signals.

169. Dynamic Traffic Light Control:

• Use sensors to monitor traffic density at an intersection.
• Train a model to dynamically adjust traffic light timings based on traffic conditions.

170. Thermostat with Predictive Control:

• Use temperature sensors to measure room temperature.
• Train a model to predict temperature changes and adjust the thermostat accordingly.

171. Pedometer with Step Counting:

• Utilize accelerometers to measure steps taken.
• Train a model to count steps and display the step count on an OLED screen.

172. Automatic Cat Feeder with Facial Recognition:

• Train a model to recognize a cat's face using a camera.
• Implement an automatic cat feeder that dispenses food when the cat is detected.

173. Smart Mirror with Object Recognition:

• Use a camera to capture the user's reflection in a mirror.
• Train a model to recognize and display information about objects held by the user.

174. Arduino-based Laser Harp:

• Use lasers and light sensors to create a virtual harp.
• Train a model to recognize hand movements through laser beams for musical interaction.

175. Hand Hygiene Reminder:

• Attach a proximity sensor to a soap dispenser.
• Train a model to remind users to wash hands when they approach the dispenser.

176. Coin Sorting Machine:

• Use a camera and sensors to identify and sort different coins.
• Implement a coin sorting machine with Arduino.

177. Bluetooth-controlled RC Car:

• Convert a regular RC car into a Bluetooth-controlled car using Arduino.
• Control the car using a mobile app with Bluetooth connectivity.

178. Heart Rate Variability Monitor:

• Utilize heart rate sensors to measure heart rate variability.
• Train a model to analyze HRV data for stress or fitness monitoring.

179. Gas Fireplace Safety Monitor:

• Use gas sensors near a gas fireplace to detect gas leaks.
• Train a model to trigger alarms in case of gas leakage.

180. Arduino-based Morse Code Translator:

• Use a button or sensor to input Morse code.
• Train a model to translate Morse code into text and display it.

181. Pet Facial Recognition Door:

• Train a model to recognize the faces of household pets.
• Implement a pet door that opens only for recognized pets.

182. Bluetooth-controlled LED Matrix Display:

• Create an LED matrix display using multiple LEDs.
• Control the display using a mobile app with Bluetooth connectivity.

183. Wearable Fitness Tracker:

• Use sensors such as accelerometers to monitor physical activity.
• Train a model to classify different types of exercises.

184. Arduino-based Breathalyzer:

• Use a gas sensor to measure alcohol levels in a person's breath.
• Train a model to classify alcohol levels and display the result.

185. Smart Umbrella with Weather Prediction:

• Connect weather sensors to predict rain.
• Train a model to analyze weather conditions and remind users to take an umbrella.

186. Voice-controlled Thermostat:

• Use a microphone to capture voice commands for temperature adjustments.
• Train a model to interpret voice commands and control the thermostat.

187. Attach RFID tags to food items in the refrigerator.

• Train a model to track and display the inventory on an LCD screen.

188. Arduino-based Mood Lamp:

• Use sensors to detect ambient light levels and color temperatures.
• Train a model to adjust the lamp color based on the surrounding environment.

189. Occupancy-based Lighting System:

• Utilize infrared sensors to detect room occupancy.
• Train a model to control the lighting system based on occupancy status.

190. Wireless Weather Station:

• Connect weather sensors to Arduino and transmit data wirelessly.
• Display real-time weather information on a remote device.

191. Automatic Curtain Opener:

• Use a motorized system to control curtains.
• Train a model to open or close curtains based on light levels or user preferences.

192. Arduino-based CO2 Monitor:

• Use CO2 sensors to measure indoor air quality.
• Train a model to classify CO2 levels and display warnings if needed.

193. Smart Coffee Maker:

• Connect a coffee maker to Arduino.
• Train a model to recognize user preferences and brew coffee accordingly.

194. Indoor Navigation System:

• Use ultrasonic sensors to measure distances.
• Train a model to guide users through indoor spaces.

195. Gesture-controlled TV Remote:

• Train a model to recognize hand gestures for TV control.
• Use Arduino to send infrared signals to the TV based on recognized gestures.

196. Automatic Plant Identification:

• Use a camera to capture images of plants.
• Train a model to identify plant species and display information.

197. Arduino-based Coin Flipper:

• Create a device that simulates a coin flip using accelerometers.
• Train a model to recognize the motion pattern and display the result.

198. Solar-Powered Weather Station:

• Connect weather sensors to Arduino powered by a solar panel.
• Monitor and log weather data using renewable energy.

199. Color-changing LED Lamp:

• Use color sensors to detect the ambient color.
• Train a model to adjust an RGB LED lamp to match the detected color.

200. Voice-controlled Fan:

• Use a microphone to capture voice commands for fan control.
• Train a model to interpret voice commands and adjust fan speed.

201. Arduino-based Bike Indicator System:

• Attach turn signal indicators to a bicycle.
• Train a model to recognize hand signals for turning and activate the indicators.

202. Distance-based Alarm System:

• Use ultrasonic sensors to measure distances.
• Train a model to trigger alarms if objects or obstacles are too close.

203. Arduino-based Breath Monitor:

• Utilize a gas sensor to measure breath patterns.
• Train a model to analyze breath data for health monitoring.

204. Customizable Text Scroller:

• Use an LED matrix or an OLED display for scrolling text.
• Train a model to customize and display text based on user input.

205. Connect Arduino to temperature and weather sensors.

• Train a model to recommend suitable clothing based on weather conditions.

206. Bluetooth-controlled Pet Toy:

• Create an interactive pet toy controlled via a mobile app with Bluetooth.
• Train a model to simulate playful behaviors for pets.

207. Arduino-based Tilt Maze Game:

• Build a tilt maze game using accelerometers.
• Train a model to recognize tilt patterns and navigate through the maze.

208. Smart Desk Lamp:

• Use ambient light sensors to adjust the brightness of a desk lamp.